Artificial intelligence-based chest computed tomography assessment of bone, vascular, and epicardial adipose changes in type 2 diabetes

doi:10.4239/wjd.121422

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 17, Issue 8

This Article

(22)

(19)

(0)

(236)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Supplementary Materials of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Diabetes

ISSN

1948-9358

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Study

Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Diabetes. Aug 15, 2026; 17(8): 121422
Published online Aug 15, 2026. doi: 10.4239/wjd.121422

Full Size Figure Download Figure

Figure 4 Restricted cubic spline analyses of the associations between computed tomography-derived imaging biomarkers. The β coefficients and odds ratios are represented by solid lines, and the 95%CIs are indicated by shaded areas. Knots were positioned at the 5%, 35%, 65%, and 95% of each distribution. A: Bone mineral density (BMD) and severe coronary artery calcification (SCAC); B: Epicardial adipose tissue (EAT) volume and SCAC; C: EAT density and SCAC; D: BMD and EAT volume; E: BMD and EAT density. SCAC: Severe coronary artery calcification; BMD: Bone mineral density; EAT: Epicardial adipose tissue; OR: Odds ratio.

Citation: Liu YK, Wu FY, Jiang CP, Xia YX, Li Y, Zeng WW, Zhang SY, Fan DN, Zhang MX, Liu TC, Wu XP, Dong Y, Chen W, Zhao YH, Li T, Li Z, Xu XY. Artificial intelligence-based chest computed tomography assessment of bone, vascular, and epicardial adipose changes in type 2 diabetes. World J Diabetes 2026; 17(8): 121422
URL: https://www.wjgnet.com/1948-9358/full/v17/i8/121422.htm
DOI: https://dx.doi.org/10.4239/wjd.121422

Liu YK, Wu FY, Jiang CP, Xia YX, Li Y, Zeng WW, Zhang SY, Fan DN, Zhang MX, Liu TC, Wu XP, Dong Y, Chen W, Zhao YH, Li T, Li Z, Xu XY. Artificial intelligence-based chest computed tomography assessment of bone, vascular, and epicardial adipose changes in type 2 diabetes. World J Diabetes 2026; 17(8): 121422 [DOI: 10.4239/wjd.121422]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.